Mac mini (2024)
Geekbench AI Score
10443
Single Precision Score
12387
Half Precision Score
11541
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 08:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4697
873.5 IPS |
|
|
Image Classification (HP)
|
100% |
5027
934.9 IPS |
|
|
Image Classification (Q)
|
96% |
4826
901.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7627
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8540
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8102
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29730
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32016
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31192
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (HP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (Q)
|
92% |
5053
403.3 IPS |
|
|
Face Detection (SP)
|
100% |
12602
149.7 IPS |
|
|
Face Detection (HP)
|
100% |
16593
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13601
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21744
167.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24091
185.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
22042
172.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58598
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72534
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69401
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13135
485.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14131
521.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11680
431.3 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5251
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4818
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5271
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5333
92.2 IPS |
